We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Solving the Real Power Limitations in the Dynamic Economic Dispatch of Large-Scale Thermal Power Units under the Effects of Valve-Point Loading and Ramp-Rate Limitations.
- Authors
Al-Bahrani, Loau; Seyedmahmoudian, Mehdi; Horan, Ben; Stojcevski, Alex
- Abstract
Few non-traditional optimization techniques are applied to the dynamic economic dispatch (DED) of large-scale thermal power units (TPUs), e.g., 1000 TPUs, that consider the effects of valve-point loading with ramp-rate limitations. This is a complicated multiple mode problem. In this investigation, a novel optimization technique, namely, a multi-gradient particle swarm optimization (MG-PSO) algorithm with two stages for exploring and exploiting the search space area, is employed as an optimization tool. The M particles (explorers) in the first stage are used to explore new neighborhoods, whereas the M particles (exploiters) in the second stage are used to exploit the best neighborhood. The M particles' negative gradient variation in both stages causes the equilibrium between the global and local search space capabilities. This algorithm's authentication is demonstrated on five medium-scale to very large-scale power systems. The MG-PSO algorithm effectively reduces the difficulty of handling the large-scale DED problem, and simulation results confirm this algorithm's suitability for such a complicated multi-objective problem at varying fitness performance measures and consistency. This algorithm is also applied to estimate the required generation in 24 h to meet load demand changes. This investigation provides useful technical references for economic dispatch operators to update their power system programs in order to achieve economic benefits.
- Subjects
DYNAMIC testing of materials; PARTICLE swarm optimization; MATHEMATICAL optimization
- Publication
Sustainability (2071-1050), 2021, Vol 13, Issue 3, p1274
- ISSN
2071-1050
- Publication type
Article
- DOI
10.3390/su13031274